Jessica Sishi Fei

Ms. Jessica Sishi Fei

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Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 January 2026 in Encyclopedia
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Journal Article
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Jessica Sishi FeiJessica Sishi Fei
Jessica Sishi Fei
Min WangMin Wang
Min Wang
This entry introduces an integrated model of reading that situates the Lexical Quality Hypothesis (LQH) within the Reading Systems Framework (RSF). The LQH posits that skilled reading depends on high-quality lexical representations—precise and flexible mappings of orthographic, phonological, morpho-syntactic, and semantic features—stored in the mental lexicon. These representations facilitate automatic word identification, accurate meaning retrieval, and efficient word-to-text integration (WTI), forming the foundation of text comprehension. Extending this micro-level perspective, the RSF positions lexical quality (LQ) within a macro-level cognitive architecture where the lexicon bridges word identification and reading comprehension systems. The RSF integrates multiple knowledge systems (linguistic, orthographic, and general world knowledge) with higher-order processes (sentence parsing, inference generation, comprehension monitoring, and situation model construction), emphasizing the bidirectional interactions between lower-level lexical knowledge and higher-order text comprehension. Central to this model is WTI, a dynamic mechanism through which lexical representations are incrementally incorporated into a coherent mental model of the text. This integrated model carries important implications for theory refinement, empirical investigation, and evidence-based instructional practices.


1 March 2024 in The Journal of the Acoustical Society of America
Verified
Journal Article
Open access
Jessica Sishi FeiJessica Sishi Fei
Jessica Sishi Fei
This study investigates the intricate patterns of tonal variations in monosyllabic words across distinct regional accents of Standard Mandarin, with a focus on Shanghai, Guangzhou, and Beijing. Due to the differing tonal systems of the local Chinese dialects in the three cities, speakers from these areas may exhibit distinct patterns in their production of tones in Standard Mandarin, influenced by their native Chinese dialects. Therefore, to capture the nuances of tonal differences, the study extracts the time-normalized f0 values of four tones (i.e., level, rising, dipping, and falling tones) from monosyllabic words in a Mandarin Chinese speech corpus. The overall f0 contours of the four tones within and across the three regional accents are modeled using growth curve analysis. We expect to find that regional accents of Standard Mandarin exhibit significant tonal variations such that the tone shapes of speakers from Shanghai and Guangzhou may significantly deviate from those of Beijing speakers. Specifically, there are variations in contour shape and temporal dynamics, particularly in the quadratic term for dipping tones and the slopes of rising and falling tones. These findings can provide valuable insights into the intricate characteristics of regional tonal variations in Standard Mandarin.